Tingfan Wu

48 papers and 2.7k indexed citations i.

About

Tingfan Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tingfan Wu has authored 48 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Biomedical Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tingfan Wu’s work include Radiomics and Machine Learning in Medical Imaging (20 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers) and MRI in cancer diagnosis (7 papers). Tingfan Wu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (20 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers) and MRI in cancer diagnosis (7 papers). Tingfan Wu collaborates with scholars based in China, United States and Germany. Tingfan Wu's co-authors include Chih‐Jen Lin, Ruby C. Weng, Javier R. Movellan, Jacob Whitehill, Paul Ruvolo, Marian Stewart Bartlett, Gwen Littlewort, Ian Fasel, Mark G. Frank and Sylvain Bertrand and has published in prestigious journals such as Medicine, Neurocomputing and Journal of Magnetic Resonance Imaging.

In The Last Decade

Co-authorship network of co-authors of Tingfan Wu i

Fields of papers citing papers by Tingfan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tingfan Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tingfan Wu. The network helps show where Tingfan Wu may publish in the future.

Countries citing papers authored by Tingfan Wu

Since Specialization
Citations

This map shows the geographic impact of Tingfan Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tingfan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingfan Wu more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025